行動地理資訊系統（Mobile GIS）之特色在於所提供之服務依照使用者當前所處環境不同、需求不同、位置之改變而可能有相當大之變化，目前其發展瓶頸並不在於成功的資料傳輸，而在於如何在有限的頻寬環境下，藉由對使用者位置或需求的了解，提供使用者最適切的資訊及服務，其中的挑戰及問題包括以下幾點：(1)行動地理資訊系統的先天性軟硬體限制造成使用情況複雜。在無線環境低頻寬的條件下，交談次數的頻繁勢將降低使用者的意願。(2)目前常見之行動地理資訊系統皆預先包裝好地圖內容及展示方式，無法滿足不同使用者之需求。(3)根據使用者之需求調整服務內容之研究，又稱Location-aware Services（位置感知服務，簡稱LAS）。如何捕捉使用者當前的使用狀況及環境因素，分析出使用者可能的資訊需求或改變提供的方式，是一個重要挑戰。

　　本研究於伺服器端設計一個資料選取架構，藉由對行動使用者之需求及位置的了解，動態地在伺服器端選取適合使用者需求之資料，將LAS之特性納入行動地理資訊系統。本研究之系統架構以XML格式作為用戶端及伺服器端資料傳遞之格式，伺服器端資料選取架構由個人資料、業務資料、地圖的相關詮釋資料及資料選取規則所構成。由這些核心元件及資料選取規則的交互運作，資料選取架構可針對使用者之需求動態產生最適當的資料約制條件，由這些屬性約制條件及幾何約制條件在對應的資料庫及資料圖層中選取出僅符合使用者需求之資料，加以包裝後傳送給使用者。本研究之資料選取架構能夠視需要擴充資料選取之條件，以因應不同的系統功能需求。

　　The most significant feature of Mobile GIS is that its services may vary dependent on the different situation, demand, and location of individual users. Rather than the success of data transition, the current bottleneck lies on how to provide appropriate information and service based on the understanding of the users’ location and demand with rather limited bandwidth of transition. Challenges and problems include (1) users may lose willingness of using such a system with frequent and repeated communications due to the constraint of hardware/software and low bandwidth of transition, (2)ready-made maps do not possess the flexibility to change its content according to users requirements and position changes. (3) current systems usually lack the ability of Location-aware service. How to have a better understanding about users’ current situation and corresponding environment factors, so as to analyze possible data request from users or change provided services become a major challenge in the future.

　　By introducing location-aware concept, we develop a server-side data selection framework capable of dynamically selecting corresponding data that meets users’ demands based on their demands and locations. XML is chosen as the data transition format, as well as the way for recording request and response, between the server and clients. The designed framework also consists of the design of personal database, business data, and metadata of relating maps data and rule selection knowledge, such that the data selection framework can effectively generate the most appropriate data constraint to meet users’ demands. The spatial and thematic constraints then retrieve the corresponding data layers from data archives and send the results back to the clients with only the information needed by the users. This data selection framework, if necessary, can expand its data selection conditions to fit with different system requirements.

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